Dataset Versions
v4
2024-07-21 12:38pm
Generated on Jul 21, 2024
92 Total Images
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Dataset Split
Train Set 91%
84Images
Valid Set 9%
8Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 1024x1024
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -12° and +12°
Shear: ±8° Horizontal, ±9° Vertical
Grayscale: Apply to 21% of images
Hue: Between -22° and +22°
Saturation: Between -25% and +25%